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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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to algorithmic decision-making in transport, welfare, policing, and urban planning – exposes the deeply sociotechnical nature of contemporary urban governance. In response to growing concerns about discrimination
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OPEN APULIA Patti Territoriali per il sistema universitario pugliese 2022 | Italy | about 1 month ago
existing software with automatic recognition algorithms for key behaviors associated with animal welfare. Where to apply Website https://www.unifg.it/it Requirements Additional Information Eligibility
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inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment
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develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Civile e Ingegneria Informatica | Italy | 21 days ago
simulations and wind energy generation. The activity will be centered on further developments of the algorithms in PSCToolkit and their implementation on accelerator devices Where to apply Website https
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individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph
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optimization methods: exact methods (MIP/MILP using PuLP) and heuristics (e.g., genetic algorithms) * Solid understanding of statistics, probability theory, data exploration, dimensionality reduction, classical
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/08/2025 END: 31/12/2029 Centre of Principal Researcher: Faculty of Computer Science. Álvaro Leitao Rodríguez PURPOSE OF CONTRACT: Advanced Deep Learning algorithms for solving PDEs and SDEs in finance